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jacksenechal

scan-mcp

by jacksenechal

get_events

Retrieve scan job events as JSONL using a job_id to inspect progress and status.

Instructions

Fetch job events JSONL by job_id

Input Schema

NameRequiredDescriptionDefault
job_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

B3.1/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden, and it does disclose the return format (JSONL) — useful information not present in the schema. However, it says nothing about event ordering, completeness, pagination/streaming behavior, or whether output is bounded, which matters for a log-fetching tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single six-word sentence with the resource and scoping key front-loaded and no filler. Its terseness is efficient rather than padded, though 'JSONL' is left unelaborated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations, no output schema, and an undocumented parameter, the description is too thin: it does not explain what an 'event' contains, whether results are truncated or ordered, or how job_id is obtained. An agent can attempt the call but cannot predict the response.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the single parameter is self-explanatory by name and type. The description restates that job_id selects the job whose events are returned but adds no format details or guidance on where to obtain a job_id (e.g., from list_jobs or start_scan_job).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (fetch) and resource (job events, JSONL) scoped to a job_id, so an agent can tell it apart from list_jobs or get_manifest. It stops short of explicitly contrasting itself with the closest sibling, get_job_status, which also keys off a job.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use guidance, and no mention of the alternative get_job_status for job introspection. The only signal is the implied requirement of a job_id, leaving the agent to infer the workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.